
Humanizer
Rewrite draft copy so it reads human and drops common LLM tics before you ship posts, docs, or landing text.
Install
npx skills add https://github.com/cachemoney/agent-toolkit --skill humanizerWhat is this skill?
- Applies Wikipedia WikiProject AI Cleanup guidance on signs of AI writing
- Catalogs 24 detectable patterns with before/after rewrite examples
- Targets statistical ‘widest case’ phrasing, significance inflation, and formulaic transitions
- Invoked via /humanizer or a direct humanize request in Claude Code
- Install by cloning or copying SKILL.md into ~/.claude/skills/humanizer
Adoption & trust: 1 installs on skills.sh; 1 GitHub stars; 1/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
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Journey fit
Primary fit
Grow/content is the canonical shelf because the skill’s output is publish-ready prose, but the same pass is useful anywhere you finalize wording. Content is where polished voice and credibility matter most; humanizer targets editorial cleanup rather than code or infra.
Common Questions / FAQ
Is Humanizer safe to install?
skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Humanizer
# Humanizer A Claude Code skill that removes signs of AI-generated writing from text, making it sound more natural and human. ## Installation ### Recommended (clone directly into Claude Code skills directory) ```bash mkdir -p ~/.claude/skills git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer ``` ### Manual install/update (only the skill file) If you already have this repo cloned (or you downloaded `SKILL.md`), copy the skill file into Claude Code’s skills directory: ```bash mkdir -p ~/.claude/skills/humanizer cp SKILL.md ~/.claude/skills/humanizer/ ``` ## Usage In Claude Code, invoke the skill: ``` /humanizer [paste your text here] ``` Or ask Claude to humanize text directly: ``` Please humanize this text: [your text] ``` ## Overview Based on [Wikipedia's "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generated text. ### Key Insight from Wikipedia > "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases." ## 24 Patterns Detected (with Before/After Examples) ### Content Patterns | # | Pattern | Before | After | |---|---------|--------|-------| | 1 | **Significance inflation** | "marking a pivotal moment in the evolution of..." | "was established in 1989 to collect regional statistics" | | 2 | **Notability name-dropping** | "cited in NYT, BBC, FT, and The Hindu" | "In a 2024 NYT interview, she argued..." | | 3 | **Superficial -ing analyses** | "symbolizing... reflecting... showcasing..." | Remove or expand with actual sources | | 4 | **Promotional language** | "nestled within the breathtaking region" | "is a town in the Gonder region" | | 5 | **Vague attributions** | "Experts believe it plays a crucial role" | "according to a 2019 survey by..." | | 6 | **Formulaic challenges** | "Despite challenges... continues to thrive" | Specific facts about actual challenges | ### Language Patterns | # | Pattern | Before | After | |---|---------|--------|-------| | 7 | **AI vocabulary** | "Additionally... testament... landscape... showcasing" | "also... remain common" | | 8 | **Copula avoidance** | "serves as... features... boasts" | "is... has" | | 9 | **Negative parallelisms** | "It's not just X, it's Y" | State the point directly | | 10 | **Rule of three** | "innovation, inspiration, and insights" | Use natural number of items | | 11 | **Synonym cycling** | "protagonist... main character... central figure... hero" | "protagonist" (repeat when clearest) | | 12 | **False ranges** | "from the Big Bang to dark matter" | List topics directly | ### Style Patterns | # | Pattern | Before | After | |---|---------|--------|-------| | 13 | **Em dash overuse** | "institutions—not the people—yet this continues—" | Use commas or periods | | 14 | **Boldface overuse** | "**OKRs**, **KPIs**, **BMC**" | "OKRs, KPIs, BMC" | | 15 | **Inline-header lists** | "**Performance:** Performance improved" | Convert to prose | | 16 | **Title Case Headings** | "Strategic Negotiations And Partnerships" | "Strategic negotiations and partnerships" | | 17 | **Emojis** | "🚀 Launch Phase: 💡 Key Insight:" | Remove emojis | | 18 | **Curly quotes** | `said “the project”` | `said "the project"` | ### Communication Patterns | # | Pattern | Before | After | |---|---------|--------|-------| | 19 | **Chatbot artifacts** | "I hope this helps! Let me know if..." | Remove entirely | | 20 | **Cutoff disclaimers** | "While details are limited in available sources..." | Find sources or remove | | 21 | **Sycophantic tone** | "Great question! You're absolutely right!" | Respond directly | ### Filler and Hedging | # | Pattern | Before | After | |---|---------|--------|-------| | 22 | **Filler phrases** | "In order to", "Due to the fact that" | "To", "Because" | |